Categories: AI/ML, Cloud Computing, Software Engineering

Job Description:

Key Responsibilities:

Generative AI & LLM Development:

• Build and deploy RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.

• Develop agentic AI solutions using LangChain and AWS Bedrock/Foundational Models.

• Fine-tune and optimize LLMs for domain-specific tasks, ensuring accuracy and performance.

• Integrate vector databases (e.g., Pinecone, FAISS) for semantic search and knowledge base management.

Model Training & MLOps:

• Train, evaluate, and deploy machine learning models on AWS SageMaker, including pipeline automation.

• Implement MLOps best practices, including model versioning, CI/CD, monitoring, and performance tracking.

• Collaborate with DevOps and Data Engineering to ensure scalable deployment and data readiness.

Integration & Communication:

• Work closely with product and backend teams to integrate AI features into core applications.

• Communicate model decisions, limitations, and performance to both technical and non-technical audiences.

• Stay current with LLM advancements, foundation models, and emerging frameworks.

• Mentorship & Strategic Advisory: Mentor junior AI/ML resources and collaborate with cross-functional teams to align AI solutions with business goals. Communicate AI/ML strategies and insights to both technical and non-technical stakeholders.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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